Dual-polarization weather radar data system and method

ABSTRACT

The present invention essentially comprises a system, method, computer program and combinations thereof to utilize dual-polarization generated data generally associated with weather and non-weather events for mapping data, producing geo-referenced data, producing mosaics, generation of precipitation masks, non-precipitation mask, and classification masks in general, production of vertical cross sections and predetermined fly throughs, producing short term forecasting, prediction of specific weather phenomenon, correcting or adjusting rain gauge data as well as quantitative precipitation estimation, and combining other meteorological data to correct or adjust estimated rainfall accumulation gathered by dual-polarization radar.

CROSS-REFERENCE TO RELATED APPLICATIONS

The present application is a continuation of U.S. patent applicationSer. No. 15/341,444 filed Nov. 2, 2016, currently pending, which is acontinuation-in-part of U.S. patent application Ser. No. 14/615,920filed Feb. 6, 2015, now U.S. Pat. No. 9,519,057, issued Dec. 13, 2016,which is a continuation-in-part of U.S. patent application Ser. No.14/070,937 filed Nov. 4, 2013, now U.S. Pat. No. 8,984,939, issued Mar.24, 2015, which is a continuation-in-part of U.S. patent applicationSer. No. 13/374,447, filed Dec. 29, 2011, now U.S. Pat. No. 8,601,864,issued Dec. 10, 2013, which claims priority from provisional patentapplication U.S. Ser. No. 61/460,786, filed Jan. 7, 2011. The entirecontent of each of the above-referenced applications is hereby expresslyincorporated herein by reference.

BACKGROUND OF THE INVENTION 1. Field of the Invention

In general, the present invention relates to weather relateddual-polarization radar data and uses of same. More specifically, butnot to be considered limiting, the present invention provides a systemand method for utilizing dual-polarization generated data generallyassociated with weather and nature events for mapping data; producinggeo-referenced data; producing mosaics; generation of conditionalprecipitation masks; detecting various weather phenomenon such as hail,winter precipitation, and so forth; production of vertical crosssections and predetermined fly throughs; producing short termforecasting; prediction of specific weather phenomenon; correcting andor adjusting rain gauge data as well as quantitative precipitationestimation; combining other meteorological data to correct or adjustestimated rainfall accumulation gathered by dual-polarization radar; andor mapping airborne birds, insects, dirt, sand, debris from tornados andwind and or other non-precipitation events.

2. Description of the Prior Art

The word “radar” is an acronym for radio detection and ranging. DuringWorld War II, military radar operators noticed noise in returned echoesdue to weather elements like rain, snow, and sleet. Just after the war,military scientists returned to civilian life or continued in the ArmedForces and pursued their work in developing a use for those echoes. In1953, Donald Staggs, an electrical engineer working for the IllinoisState Water Survey, made the first recorded radar observation of a “hookecho” associated with a tornadic thunderstorm. Between 1950 and 1980,reflectivity radars, which measure position and intensity ofprecipitation, were built by weather services around the world. Duringthe 1970s, radars began to be standardized and organized into networks.The first devices to capture radar images were developed. The number ofscanned angles was increased to get a three-dimensional view of theprecipitation, so that horizontal cross-sections (CAPPI) and verticalones could be performed. Studies of the organization of thunderstormswere then possible.

In 1964, The National Severe Storms Laboratory (NSSL) was formed andbegan experimentation on dual-polarization signals and on the uses forthe Doppler effect. In May 1973, a tornado devastated Union City, Okla.,just west of Oklahoma City. For the first time, a Dopplerized 10-cmwavelength radar from NSSL documented the entire life cycle of thetornado.

Between 1980 and 2000, weather radar networks became the norm andconventional radars were replaced by Doppler radars, which in additionto position and intensity it could track the relative velocity of theparticles in the air. After 2000, research on dual-polarizationtechnology has moved into operational use, increasing the amount ofinformation available on precipitation type (e.g. rain vs. snow).

“Dual-polarization” generally means that microwave radiation, which ispolarized both horizontally and vertically (with respect to the ground)is emitted. Most current weather radars, such as the National WeatherService NEXRAD radar, transmit radio wave pulses that have a horizontalorientation. Polarimetric radars (also referred to as dual-polarizationradars), transmit radio wave pulses that have both horizontal andvertical orientations. The horizontal pulses essentially give a measureof the horizontal dimension of cloud (cloud water and cloud ice) andprecipitation (snow, ice pellets, hail, and rain) particles while thevertical pulses essentially give a measure of the vertical dimension.Since the power returned to the radar is a complicated function of eachparticle's size, shape, and ice density, this additional informationresults in improved estimates of rain and snow rates, better detectionof large hail location in summer storms, and improved identification ofrain/snow transition regions in winter storms.

What is needed is to provide a system and or method that will fullyutilize dual-polarization for weather information collection andinterpretation where the prior art is deficient. Therefore, a need and adesire exist to provide a system and method that allows a more fullutilization of the current technology to reap the beneficial resultstherein.

SUMMARY OF THE INVENTION

In view of the foregoing disadvantages and limitations inherent in theknown uses of dual-polarization techniques now present in the prior art,the present invention provides a new and improved method and systemwherein the same can be utilized where speed, ease of use, clarity andaccuracy are desired. As such, the general purpose of the presentinvention, which will be described subsequently in greater detail, is toprovide a new and improved weather related utilization ofdual-polarization radar, which has all the advantages of the prior artand none of the disadvantages.

To attain this, the present invention essentially comprises a system,method, computer program and combinations thereof that utilizesdual-polarization radar data generally associated with weather andnon-weather events for mapping data, producing geo-referenced data,producing mosaics, generation of precipitation and non-precipitationtype classification of radar echoes, production of vertical crosssections and predetermined fly throughs, producing short termforecasting, prediction of specific weather phenomenon, correcting oradjusting rain gauge data as well as quantitative precipitationestimation, and combining other meteorological data to correct or adjustestimated rainfall accumulation gathered by dual-polarization radar.

There has thus been outlined, rather broadly, the more importantfeatures of the invention in order that the detailed description thereofthat follows may be better understood and in order that the presentcontribution to the art may be better appreciated. There are, of course,additional features of the invention that will be described hereinafterand which will form the subject matter of the claims appended hereto.

In this respect, before explaining at least one embodiment of theinvention in detail, it is to be understood that the invention is notlimited in this application to the details of construction and to thearrangements of the components set forth in the following description orillustrated in the drawings. The invention is capable of otherembodiments and of being practiced and carried out in various ways.Also, it is to be understood that the phraseology and terminologyemployed herein are for the purpose of description and should not beregarded as limiting. As such, those skilled in the art will appreciatethat the conception upon which this disclosure is based may readily beutilized as a basis for the designing of other structures, methods, andsystems for carrying out the several purposes of the present invention.It is important, therefore, that the claims be regarded as includingsuch equivalent constructions insofar as they do not depart from thespirit and scope of the present invention.

Further, the purpose of the foregoing abstract is to enable the U.S.Patent and Trademark Office and the public generally, and especially theengineers and practitioners in the art who are not familiar with patentor legal terms or phraseology, to determine quickly from a cursoryinspection the nature and essence of the technical disclosure of theapplication. The abstract is neither intended to define the invention ofthe application, which is measured by the claims, nor is it intended tobe limiting as to the scope of the invention in any way.

Therefore, it is an object of the present invention to provide a new andimproved utilization of a dual-polarization weather radar system andmethod that improves the efficiency, accuracy, and detail of informationgathering and analysis.

It is a further object of the present invention to provide a new andimproved utilization of a dual-polarization weather radar system andmethod for predicting as well as analysis of weather events such as butnot limited to wind, hail, snow, rain super-cooled liquid in clouds andso forth.

An even further object of the present invention is to provide a new andimproved utilization of a dual-polarization weather radar system andmethod, which is susceptible to a relatively low cost of implementation,and which accordingly is then susceptible to low costs in general,thereby making such economically available to the consuming industry andpublic.

Still another object of the present invention is to provide a new andimproved utilization of a dual-polarization weather radar system andmethod, which provides all of the advantages of the prior art, whilesimultaneously overcoming some of the disadvantages normally associatedtherewith.

Another object of the present invention is to provide a new and improvedutilization of a dual-polarization weather radar system and method,which is of a reliable implementation for all types of weather eventsand data therefrom.

Yet another object of the present invention is to provide a new andimproved utilization of a dual-polarization weather radar system andmethod, which may be easily and efficiently accessed, implemented, andutilized for utilization in multiple platforms such as but not limitedto computers, PDA, phones and so forth.

Still another object of the present invention is to provide a new andimproved utilization of a dual-polarization weather radar system andmethod that provides for mapping other non-precipitation events such asbut not limited to airborne birds, insects, dirt, sand, debris fromtornados, debris from winds and so forth.

Another object of the present invention is to provide a new and improvedutilization of a dual-polarization weather radar system and method,which provides accumulation and or aggregate data of rain, snow, ice,hail and so forth over a time period.

These, together with other objects of the invention, along with thevarious features of novelty, which characterize the invention, arepointed out with particularity in the claims annexed to and forming apart of this disclosure. For a better understanding of the invention,its operating advantages, and the specific objects attained by its uses,reference should be had to the accompanying drawings and descriptivematter in which there are illustrated preferred embodiments of theinvention.

BRIEF DESCRIPTION OF THE PICTORIAL ILLUSTRATIONS, GRAPHS, DRAWINGS, ANDAPPENDICES

The invention will be better understood and objects other than those setforth above will become apparent when consideration is given to thefollowing detailed description thereof. Such description makes referenceto the annexed pictorial illustrations, graphs, drawings, exhibits,screen captures and appendices.

FIG. 1 is an example of the structure of a horizontally polarized radiowave. The electric field wave crest is oriented in the horizontaldirection (shading in this figure). The magnetic field wave crest isoriented in the vertical direction (white in this figure).

FIG. 2 is an example of the structure of a vertically polarized radiowave. The electric field wave crest is oriented in the verticaldirection (shading in this figure). The magnetic field wave crest isoriented in the horizontal direction (white in this figure).

FIG. 3 is an example of a non-polarimetric radar's, such as NEXRAD(WSR-88D), transmit and receive only horizontal polarization radio wavepulses.

FIG. 4 is an example of a polarimetric radar's transmit and receive bothhorizontal and vertical polarization radio wave pulses.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

In a preferred embodiment, the invention may be a system, method,process, method of doing business, and or a computer program with theunderstanding it may also be combinations of the same. It is understoodthat the following is for purposes of illustration and should not beconsidered to limit the scope of the invention. It is also understoodthat the current invention may be utilized for numerous applications.Furthermore, the terms “dual”, “polarization”, and dual-polarization”collectively and individually should not be considered limiting thescope of the invention as such.

A radio wave is a series of oscillating electric and magnetic fields.One cannot actually see the oscillating electric and magnetic fields,but the radar can detect and interpret them just as a car radio candetect and interpret those transmitted at the slightly lowerfrequencies. If, however, they would be visible, they would looksomething like the waves depicted below in FIG. 1 wherein an example ofthe structure of a horizontally polarized radio wave is depicted. Theelectric field wave crest is oriented in the horizontal direction(shading in this figure). The magnetic field wave crest is oriented inthe vertical direction (white in this figure).

FIG. 2 is an example of the structure of a vertically polarized radiowave. The electric field wave crest is oriented in the verticaldirection (shading in this figure). The magnetic field wave crest isoriented in the horizontal direction (white in this figure).

As can be seen in FIG. 1 and FIG. 2, the electric and magnetic fieldsare oriented at 90-degree angles to each other. This concept isimportant for understanding what is meant by polarization. That is, thepolarization of the radio wave is defined as the direction oforientation of the electric field wave crest. Thus, in FIG. 1, thepolarization is horizontal since the electric field wave crest (shown inshading) is aligned along the horizontal axis.

In FIG. 2, the polarization is vertical since the electric field wavecrest (shown in shading) is aligned along the vertical axis.Polarimetric radars gain additional information about the precipitationcharacteristics of clouds by essentially controlling the polarization ofthe energy that is transmitted and received.

Most weather radars, including NEXRAD, transmit and receive radio waveswith a single, horizontal polarization. That is, the direction of theelectric field wave crest is aligned along the horizontal axis.Polarimetric radars, on the other hand, transmit and receive bothhorizontal and vertical polarizations. Although, there are manydifferent ways to mix the horizontal and vertical pulses together into atransmission scheme, the most common method is to alternate betweenhorizontal and vertical polarizations with each successive pulse. Thatis, first horizontal, then vertical, then horizontal, then vertical,etc. And, of course, after each transmitted pulse there is a shortlistening period during which the radar receives and interpretsreflected signals from the cloud.

Since polarimetric radars transmit and receive two polarizations ofradio waves, they are sometimes referred to as dual-polarization radars.The difference between non-polarimetric and polarimetric radars isillustrated in FIGS. 3 and 4 wherein FIG. 3 generally depictsnon-polarimetric radars, such as NEXRAD, that transmit and receive onlyhorizontal polarization radio wave pulses. Therefore, they measure onlythe horizontal dimension of cloud and precipitation particles.

FIG. 4 generally depicts polarimetric radars that transmit and receiveboth horizontal and vertical polarization radio wave pulses. Therefore,they measure both the horizontal and vertical dimensions of cloud andprecipitation particles. This additional information leads to improvedradar estimation of precipitation type and rate.

All weather radars, including NEXRAD (WSR-88D), measure horizontalreflectivity. That is, they measure the reflected power returned fromthe radar's horizontal pulses. Polarimetric radars, on the other hand,measure the reflected power returned from both horizontal and verticalpulses. By comparing these reflected power returns in different ways(ratios, correlations, etc.), users are able to obtain information onthe size, shape, and ice density of cloud and precipitation particles.

Some of the fundamental variables measured by polarimetric radars, and ashort description of each, are as follows:

Differential Reflectivity—The differential reflectivity is a ratio ofthe reflected horizontal and vertical power returns. Amongst otherthings, it is a good indicator of drop shape. In turn, the shape is agood estimate of average drop size.

Correlation Coefficient—The correlation coefficient is a correlationbetween the reflected horizontal and vertical power returns. It is agood indicator of regions where there is a mixture of precipitationtypes, such as rain and snow.

Linear Depolarization Ratio—The linear depolarization ratio is a ratioof a vertical power return from a horizontal pulse or a horizontal powerreturn from a vertical pulse. It too is a good indicator of regionswhere a mixture of precipitation types occur.

Specific Differential Phase—The specific differential phase is acomparison of the returned phase difference between the horizontal andvertical pulses. This phase difference is caused by the difference inthe number of wave cycles (or wavelengths) along the propagation pathfor horizontal and vertically polarized waves. It should not to beconfused with the Doppler frequency shift, which is caused by the motionof the cloud and precipitation particles. Unlike the differentialreflectivity, correlation coefficient, and linear depolarization ratio,which are all dependent on reflected power, the specific differentialphase is a “propagation effect”. It is a very good estimator of rainrate.

Since the power returned to the radar is such a complicated function ofthe size, shape, and ice density of each cloud and precipitationparticle, any information that we can gain about the averagecharacteristics of the precipitation help us to better determine rainrates, snow rates, or even possibly the size of hail.

It is understood that polarimetric radar can give additional informationon precipitation type and rate from a rain event by example. Whencompared to snow, rain is a very simple precipitation type. By means ofexample, if it were raining and theoretically had the ability tosuddenly stop the rain from falling and grab a cubic meter of air thatincluded the suspended raindrops and started removing the individualraindrops, you could examine the drops. Examining each of their sizesand adding up the total water content to get an estimate of the rainrate would then be possible. It is possible to find a few very bigdrops, no small ones, and get a rain rate of 0.5 inch per hour. If,however, the experiment was repeated after 15 minutes, a large number ofvery small drops and no big ones may be found, but still have a totalrain rate of 0.5 inch per hour.

This is possible because the number and average size of the raindropshas changed dramatically but the rain rate has not. It is because, inthe first sample, the rainwater was concentrated in a very small numberof large drops and, in the second sample, the rainwater was concentratedin a very large number of small drops. Yet, since the reflected powerreturned to the radar is heavily weighted towards the largest drops, thepower returned to the radar from the first sample might be as much as 10times greater than the power returned to the radar from the secondsample. By just using the returned power to estimate rain rate, it ispossible to end up with either a significant overestimation or asignificant underestimation of the rain rate. It would all depend on thedominant drop size. This can be a severe limitation of non-polarimetricradars.

Polarimetric radar provides a more accurate rate because the shape ofthe drop is more accurately determined. As a general rule, raindrops arenot necessarily spherical in shape; very few drops are and typicallyonly for the very smallest drops. For bigger drops, drag forces as theyfall through the atmosphere causes a flattening effect that results inan almost “hamburger bun” type appearance for the very big drops. Withpolarimetric radar, it is possible to measure differential reflectivity.By first transmitting and receiving a horizontal pulse of energy, anindication of the horizontal dimension of the drop may be learned. Whentransmitting and receiving a vertical pulse of energy, anotherindication of the vertical dimension of the drop is learned. Combined,this information may get a measure of the average drop shape and, inturn, dominant drop size. This could be used to refine the radar rainrate estimate. It is further contemplated to use polarimetric radarpower returned from oddly shaped snow, ice crystals, hail, and regionsthat contain mixtures of precipitation types.

Radars are not able to generally predict if it is going to raintomorrow. However, once a cloud does develop and precipitation startsfalling, it can be used to examine storm structure and estimate rain andsnow rates. The improvements associated with polarimetric radars comefrom their ability to provide previously unavailable information oncloud and precipitation particle size, shape, and ice density. Thecurrent invention may allow use of dual-polarized radar data to haveimproved estimation of rain and snow rates, discrimination of hail fromrain and estimating hail size, identification of precipitation type inwinter storms, identification of severe storm morphology such asrear-flank downdrafts and tornado genesis, identification ofelectrically active storms, and identification of aircraft icingconditions.

It is also contemplated the current invention may provide techniques touse mathematical functions to weight the relative importance of thepolarimetric variables as they relate to identifying each cloud, such asbut not limited to cloud water and cloud ice, and precipitation such asbut not limited to snow, ice pellets, hail, super-cooled liquid, andrain. For example, differential reflectivity may do a better jobidentifying one particle type, whereas specific differential phase maydo a better job identifying another. By combining the weights for eachvariable, a “classification” of the dominant particle type can bedetermined for each portion of the cloud. This information can be usedto improve predictions from short-term computer forecast models.

In addition to providing information on cloud and precipitation particlesize, shape, and ice density, polarimetric radar variables also exhibitunique signatures for many non-meteorological scatterers. Examples wouldbe birds and insects. Though radar measurements of birds and insects maynot at first appear to be of interest to meteorologists, there areindeed applications. For example, the motion of the birds and insectsmay affect the measured Doppler winds, occasionally makinginterpretation of wind fields difficult. Radar measurements of birds andinsects may also be of interest to other commercial and scientificdisciplines. For example, birds are hazardous to aircraft. Therefore,radar measurements of birds might interest the aviation industry. Radarmeasurements of bugs might interest entomologists who study, forexample, crop damage resulting from bug migrations. For weather radars,of course, birds and bugs are generally thought of as a datacontamination. Fortunately, their unique polarimetric signaturesgenerally make them easily identifiable in the data. This is not alwaysthe case for non-polarimetric radars.

Another problem that frequently plagues radar measurements is thepresence of anomalous propagation, commonly referred to as AP. AP refersto a “ground return contamination” that sometimes occurs in the radardata when a warm layer of air forms above a cold layer of air. Thisphenomena, which is called an inversion layer, essentially bends theradar beam back towards the ground resulting in a ground returncontamination that makes it very difficult, at times, to distinguish thelocation and intensity of clouds and precipitation. Polarimetric radarsignatures also aid in the elimination of AP.

Dual-polarization on a Map

In a preferred embodiment, dual-polarization (dual-pol) radar data maybe utilized by displaying raw single site dual-polarization radar dataand derived products from the data on a map. Raw single site radardual-polarization data and derived fields from the data may be mapped toa common coordinate system, such as but not limited to MERCATOR, so thatthese data can be properly placed on open, such as but not limited toOPEN STREET MAP, and proprietary mapping systems, such as but notlimited to GOOGLE mapping systems. These data may be shown to indicatevarious types of weather phenomenon and their location relative topoints of interest on the map. It is contemplated to provide such tothose in desire for such information on a customer basis.

Mosaics

It is further contemplated to provide a mosaic of combining data frommultiple radars that each cover a geographic area to get a more completepicture in two dimensions, three dimensions, and combinations thereof ofdual-polarization derived or raw parameters. Conventional weather radardata has been “mosaicked” together for many years to produce a seamlessview of radar data from a group of radars rather than data being shownfrom each individual radar. With the dual-raw polarization radar dataand the derived fields, these fields may be mosaicked together toprovide a seamless view of hydrometeor classification (rain, snow, ice,hail, super-cooled liquid, and so forth), precipitation rates, andquantitative precipitation estimation.

Generation of a Precipitation Mask

It is contemplated to generate a classification mask that may include aprecipitation mask, such as but not limited to rain, snow, sleet, hail,fog and combinations thereof, from dual-polarization parameters. TheHydrometeor Classification Algorithm (HCA) utilizes NEXRADdual-polarization parameters to classify hydrometeors or non-hydrometeorbackscatterers. Backscatter classifications include, but are not limitedto, biological scatterers such as insects and birds, anomalouspropagation/ground clutter, ice crystals, dry snow, wet snow,light-moderate rain, heavy rain, large raindrops, graupel, and rainmixed with hail. Using this precipitation type and classification maskto determine various precipitation types, such as but not limited torain, snow, sleet, freezing rain, and so forth, can be mapped ratherthan simply applying a conditional mask to conventional radar datawherein it may only indicate that precipitation is occurring.

Generation of a Classification Mask in General

It is still further contemplated to generally generate a classificationmask that may include non-precipitation events and or targets likeairborne items such as but not limited to birds and flocks thereof,insects and swarms thereof, dirt, smog, dust and or dust storms, sandand or sand storms, debris from winds or in wind in general, debris anddebris from or in tornados, hurricanes, and combinations thereof, fromdual-polarization parameters. It is understood that debris from highwinds and or tornados may be man-made items associated with tornado andhigh wind destruction as well as naturally occurring items such as butnot limited to trees, brush, grass, animals and so forth. This mayinclude, as generally stated above dual-polarization parameters toclassify hydrometeors or non-hydrometeor backscatterers. It is alsounderstood that both a precipitation mask and a general classificationmask may both be utilized, generated, compared, and so forth.

Geo-Referenced Data

It is further contemplated to provide geo-referenced data, such as butnot limited to polygons and or grids, of the size of hail, ofprecipitation accumulation, of icing conditions, and of variousnon-meteorological targets such as but not limited to insects, birds,dust, aerosol, wind-driven debris and so forth from dual-polarizationparameters. It is also generally contemplated to provide geo-referenceddata, such as but not limited to polygons of hail fall from past,current, and or future event.

The current invention contemplates geo-referenced data, such as but notlimited to polygons, of size of hail size as derived fromdual-polarization parameters. The Hailswath algorithm is designed todetermine hail size and produce geo-referenced output of areas of hailfrom a single radar or from multiple radars in a mosaic. Hail sizedetermination and areal extent of hail fall is accomplished throughintegration of the following meteorological datasets: dual-polarizedradar data, conventional radar reflectivity, numerical weatherprediction model data, visible and infrared satellite data and humanobservations of hail. Appropriate thresholds for the HCA output (i.e.minimum criteria) are chosen and applied to the meteorological datasetsto define the length and width of a Hailswath along the hailsize. Thehailsize magnitude is represented in multiple ways including but notlimited to ranges of values (e.g.: 0.75″≤hail<2.00″ and hail≥2.00″diameter) within a discrete, contoured analysis represented by polygons,gridded values of hailsize. These polygon data are then properly placedon open (Open Street Map) and proprietary mapping (Google) systems. Themapped hail analysis polygons may be shown along with human observationsat the reported location and represented by a marker or icon which iscolor coded and labeled according to the size of hail.

The current invention also contemplates geo-referenced data, such as butnot limited to polygons, of icing conditions as derived fromdual-polarization parameters. Using output from the algorithms utilizingthe dual-polarized radar data and integrating, observation data (surfaceobservations of temperature, humidity, and so forth), numerical weatherprediction data, radiosonde data (weather balloon-borne instruments)liquid drops/droplets are categorized and located in sub-freezingconditions, which are favorable for icing on aircraft. The results ofthe icing conditions algorithm are then contoured and properly placed onopen (i.e., OPEN STREET MAP) and proprietary mapping (i.e., GOOGLE)systems.

Furthermore, it is contemplated that geo-referenced data, such as butnot limited to polygons, of various non-meteorological targets, such asbut not limited to insects, birds, dust, wind driven debris and so forthas derived from dual-polarization parameters. The current invention mayallow for accurate data reflection of what is in the sky from a weatherevent, to a biological event, and even man made events such as debrisfields in the air caused by a man made action.

The current invention utilizes single site dual-polarized radar datafrom multiple radars to create 2D and 3D mosaics (on a 3D highresolution grid) covering large areas (such as the entire country of theUnited States), of geo-referenced data, such as but not limitedpolygons, showing hail fall past, current, and future are derived fromdual-pol parameters. Contoured hail size data is determined by theHailswath algorithm either from current or past dual-pol radar data.These hail size data are then stored on computer disk for immediateaccess by a display system to show where hail has fallen, where it iscurrently falling or where it is forecast to fall on a geo-referencedmap.

3D Dual-Polarization Mosaics and Fly Throughs

In a preferred embodiment, it is contemplated to utilize 3Ddual-polarization mosaics for the production of vertical cross sectionsand pre-determined and non-predetermined fly throughs. Dual-polarizationradar data may be collected at individual radar locations. Each radarscans 360 degrees of aziumuthal coverage at a number of differentelevation angles. The collection of data from each radar's elevationangles is known as a volume. This 3D data set is then “mosaicked” orcombined with other radar's volumes to create a 3D representation ofdata collected for a larger area. The 3D dataset of rawdual-polarization data and derived fields is used as input to a computerdisplay system for showing predetermined and user-determined verticalcross sections and simulated “fly throughs” of the data.

Dual-Polarization Data as in Input

In another preferred embodiment of the invention, it is contemplated touse dual-polarization data as an input to a numerical modeling system toproduce a short-term forecast, such as but not limited to up to 12hours, use dual-polarization data as a predictor of specific weatherphenomenon such as downbursts, lightning, and combinations thereof, usedual-polarization data to correct or adjust rain gauge data and producea quantitative precipitation estimation (QPE), as well as using othermeteorological data to correct or adjust dual-polarization estimatedrainfall accumulation. Numerical weather prediction models are computerforecast systems that model the atmosphere and predict the variousparameters associated with weather, such as but not limited totemperature, wind, occurrence of precipitation, and so forth. Both rawdual-polarization data and derived fields from the HCA are ingested intoour numerical weather prediction model as observations of the state ofthe atmosphere at the beginning of the prediction time. This improvedset of data better defines the actual state of the atmosphere thatimproves the accuracy and or precision of the forecasts.

Predictor of Specific Weather Phenomenon

It is also contemplated to use dual-polarization data as a predictor ofspecific weather phenomenon such as but not limited to downbursts andlightning. Numerous research studies of radar data have speculated thatthe existence of various forms of frozen precipitation, such as but notlimited to snow, hail, and graupel located within specific locations ofcloud systems are precursors to specific phenomenon such as downburstsand lightning. Using both raw dual-polarization data and derived fieldsfrom the HCA as input into the downburst prediction and lightningprediction algorithms, more accurate determination of the state ofprecipitation through depth of cloud systems serves as indicators ofprecursor conditions for both downburst and lightning occurrences.

It is also contemplated to use dual-pol data as a predictor of tornadoesand tornado damage. Research of dual-polarization radar data speculatesthat the detection of a “debris ball” associated with pre-tornado andtornado circulations indicates the presence of a tornado or tornado-likecirculation. Using both the raw dual-pol data and derived fields fromthe HCA as input into the tornado debris algorithm, more preciseprediction/determination of the location and strength of tornado andtornado-like circulations can be determined.

Dual-Polarization Data for Adjustment of Other Data

The current invention may also utilize dual-polarization data for thecorrection or adjustment of rain gauge data to produce a QuantitativePrecipitation Estimation (QPE). It is also contemplated to use othermeteorological data to correct or adjust dual-polarization estimatedrainfall as well as other precipitation.

Invention 10 contemplates modification, adjusting, and or comparing ofprecipitation accumulation estimate from the dual-pol radar with anactual physical precipitation gauge reading. It is contemplated tocombine the precipitation accumulation with precipitation gauges to“gauge correct” the precipitation accumulation estimate from the radardata. The radar estimate may then be modified by the gauge measurements.Adjustments may be to increase and or decrease the estimated amountdepending on the measured amount in the physical gauge.

Therefore, invention 10 contemplates generating an estimatedprecipitation accumulation from said difference between said firstprecipitation mask at said first time period and said secondprecipitation mask from said second time period; providing at least onephysical gauge for measuring a physical precipitation accumulation fromsaid precipitation event; generating a measured physical precipitationaccumulation in said at least one physical gauge from said precipitationevent; and comparing said measured physical precipitation accumulationwith said estimated precipitation accumulation to determine said actualprecipitation accumulation.

Still further, invention 10 may have the steps of determining a measuredphysical precipitation accumulation in said at least one physical gaugefrom said precipitation event; and adjusting said estimatedprecipitation accumulation with said measured physical precipitationaccumulation for said generating of said actual precipitationaccumulation.

Dual-Polarization for Accumulations and or Aggregation Data Over a TimePeriod

Still another object of the present invention is to provide a new andimproved utilization of a dual-polarization weather radar system andmethod, which provides accumulation and or aggregate data of rain, snow,ice, hail and so forth over a time period. The invention may generate aprecipitation accumulation and or aggregate by generating a horizontalpolarized radio wave pulse and a vertical polarized radio wave pulse;transmitting said horizontal polarized radio wave pulse and saidvertical polarized radio wave pulse toward a precipitation event;receiving returned said horizontal polarized radio wave pulse andreturned said vertical polarized radio wave pulse from saidprecipitation event; measuring the power of said returned saidhorizontal polarized radio wave pulse and said returned said verticalpolarized radio wave pulse from said precipitation event; comparing saidpower of said returned said horizontal polarized radio wave pulse andsaid power of said returned said vertical polarized radio wave pulsefrom said precipitation event; generating a first precipitation maskfrom said comparing of said power of said returned said horizontalpolarized radio wave pulse and said power of said returned said verticalpolarized radio wave pulse from said precipitation event at a first timeperiod; generating a second precipitation mask from said comparing ofsaid power of said returned said horizontal polarized radio wave pulseand said power of said returned said vertical polarized radio wave pulsefrom said precipitation event at a second time period; comparing thedifference between said first precipitation mask at said first timeperiod and said second precipitation mask from said second time period;and generating said precipitation accumulation from said differencebetween said first precipitation mask at said first time period and saidsecond precipitation mask from said second time period.

It is understood that the first time period may be any time intervalsuch as second, minute, hour and so forth. The time interval may also beless than a second. It is also understood that the invention may makeseveral comparisons and that more than just two time intervals may beutilized. The comparison may be over a continuous time period,increments, combinations thereof and so forth.

Operation Systems

It is understood that in a preferred embodiment, the invention maygenerally utilize a computer system. The system may include variousinput/output (I/O) devices (e.g., mouse, keyboard, display,Internet-enabled mobile phone, servers, and Internet-enabled PDA) andone or more general purpose computers having a central processor unit(CPU), an I/O unit and a memory that stores data and various programssuch as an operating system, and one or more authoring applications(e.g., programs for word processing, creating spread sheets, andproducing graphics), one or more client applications (e.g., programs foraccessing online services), and one or more browser applications (e.g.,programs for retrieving and viewing electronic documents from theInternet and/or Web). The computer system may also include acommunications device (e.g., a satellite receiver, a modem, or networkadapter) for exchanging data with a host through a communications link(e.g., a telephone line and/or a wireless link) and/or a network.

It is contemplated that the invention may be activated, accessed,utilized and so forth by the use of a computer screen related desktopicon for instantaneous retrieval. It is understood that in a preferredembodiment, the icon will be located in a lower location such as but notlimited to a tool bar commonly associated at the bottom right of acomputer screen. The invention may be accessed by other means and theicon use should not be considered limiting the scope of the invention.The invention may be utilized with any and all types of internetcommunication portals. Further, the invention should not be consideredlimited to existing systems and that the invention may be utilized withother types of internet communication portals.

Likewise, it is contemplated that the invention may be utilized in othermeans other than a personal computer screen application. It may beutilized with hand held devices, cellular phones, PDAs, and car computersystems or displays. It also includes devices that are mobile, devicesthat are stationary and or devices that are a combination of mobile andor stationary. It is further contemplated that the invention may beutilized with public phones that may include a visual screen or display.Likewise, free standing kiosks, booths or other locations may bespecifically established to provide a display and access to theinvention and said invention may include such established physicalaccess ports, places, kiosks, and the like.

It is still contemplated that the invention may include, utilize, beselectively accessed by specified groups or sub groups, such as adesignated entity like a business, center, city and so forth. It iscontemplated that the invention may include specific promotionalmaterials that companies have produced and would pay the manufacturer orbusiness to appear on line with the business that is listed or has an ador web site. This would include any and all types of informationincluding local, regional, national, international and worldwide. It canbe placed permanently or temporarily including web sites, ads,commercials and any and all type of promotions, advertising,informational and communication data and not excluding any other form ortype of knowledge.

It is further contemplated the current invention may be utilized byexisting technology such as but not limited to WEATHER DECISIONTECHNOLOGIES Inc.'s interactive weather map known under the trademarkIMAP that is a user-friendly way to get weather forecasts and currentconditions, view radar and satellite images, see real-time lightningstrikes, get nautical information and so forth via wireless and wireddevices such as but not limited to internet services, cellular phoneservices, and media outlets such as news and weather station. It is alsocontemplated to utilize the current invention for digital geographicinteractive maps and weather information, data, and streams for suchapplications as the IMAP, IMAP INTERACTIVE, IMAP LIVE and combinationsthereof.

Changes may be made in the combinations, operations, and arrangements ofthe various parts and elements described herein without departing fromthe spirit and scope of the invention. Furthermore, names, titles,headings and general division of the aforementioned are provided forconvenience and should, therefore, not be considered limiting.

We claim:
 1. A method for generating an actual precipitationaccumulation comprising the steps: generating a horizontal polarizedradio wave pulse and a vertical polarized radio wave pulse; transmittingsaid horizontal polarized radio wave pulse and said vertical polarizedradio wave pulse toward a precipitation event; receiving returned saidhorizontal polarized radio wave pulse and returned said verticalpolarized radio wave pulse from said precipitation event; measuring thepower of said returned said horizontal polarized radio wave pulse andsaid returned said vertical polarized radio wave pulse from saidprecipitation event; comparing said power of said returned saidhorizontal polarized radio wave pulse and said power of said returnedsaid vertical polarized radio wave pulse from said precipitation event;generating a first precipitation mask from said comparing of said powerof said returned said horizontal polarized radio wave pulse and saidpower of said returned said vertical polarized radio wave pulse fromsaid precipitation event at a first time period; generating a secondprecipitation mask from said comparing of said power of said returnedsaid horizontal polarized radio wave pulse and said power of saidreturned said vertical polarized radio wave pulse from saidprecipitation event at a second time period; comparing a differencebetween said first precipitation mask at said first time period and saidsecond precipitation mask from said second time period; and generatingan estimated precipitation accumulation from said difference betweensaid first precipitation mask at said first time period and said secondprecipitation mask from said second time period; providing at least onephysical gauge for measuring a physical precipitation accumulation fromsaid precipitation event; determining a measured physical precipitationaccumulation in said at least one physical gauge from said precipitationevent; and adjusting said estimated precipitation accumulation with saidmeasured physical precipitation accumulation for said generating of saidactual precipitation accumulation.
 2. The method of claim 1 wherein saidprecipitation event is rain.
 3. The method of claim 1 wherein saidprecipitation event is snow.
 4. The method of claim 1 wherein saidprecipitation event is ice.